Sanguk Yun

33 total papers · 2.9k total citations
23 papers, 2.2k citations indexed

About

Sanguk Yun is a scholar working on Molecular Biology, Immunology and Allergy and Cell Biology. According to data from OpenAlex, Sanguk Yun has authored 23 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Immunology and Allergy and 7 papers in Cell Biology. Recurrent topics in Sanguk Yun's work include Cell Adhesion Molecules Research (8 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Angiogenesis and VEGF in Cancer (4 papers). Sanguk Yun is often cited by papers focused on Cell Adhesion Molecules Research (8 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Angiogenesis and VEGF in Cancer (4 papers). Sanguk Yun collaborates with scholars based in South Korea, United States and Brazil. Sanguk Yun's co-authors include Martin A. Schwartz, Brian G. Coon, Nicolas Baeyens, Chirosree Bandyopadhyay, Tyler D. Ross, Sung Ho Ryu, Pann‐Ghill Suh, Madhusudhan Budatha, Keiichiro Tanaka and Mingxing Ouyang and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Circulation.

In The Last Decade

Sanguk Yun

22 papers receiving 2.1k citations

Hit Papers

Mechanosensation of cycli... 2016 2026 2019 2022 2019 2016 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sanguk Yun 1.1k 620 504 270 251 23 2.2k
Nicolas Baeyens 1.1k 1.0× 663 1.1× 337 0.7× 290 1.1× 273 1.1× 27 2.3k
Brian G. Coon 1.0k 1.0× 705 1.1× 292 0.6× 225 0.8× 184 0.7× 28 2.0k
Gaoyuan Cao 901 0.8× 372 0.6× 327 0.6× 327 1.2× 242 1.0× 44 1.9k
Robert B. Wysolmerski 1.4k 1.3× 954 1.5× 331 0.7× 168 0.6× 310 1.2× 39 2.5k
Jenny Norlin 1.2k 1.1× 269 0.4× 295 0.6× 222 0.8× 185 0.7× 20 3.0k
Colin Niaudet 1.0k 0.9× 278 0.4× 292 0.6× 195 0.7× 209 0.8× 17 2.6k
Cornelia Hahn 711 0.7× 740 1.2× 222 0.4× 177 0.7× 238 0.9× 14 1.8k
Daniel E. Conway 1.1k 1.0× 1.0k 1.7× 238 0.5× 150 0.6× 152 0.6× 53 2.4k
Herbert B. Schiller 976 0.9× 514 0.8× 310 0.6× 727 2.7× 344 1.4× 50 2.6k
Lisette M. Acevedo 1.9k 1.7× 647 1.0× 386 0.8× 194 0.7× 289 1.2× 26 2.9k

Countries citing papers authored by Sanguk Yun

Since Specialization
Citations

This map shows the geographic impact of Sanguk Yun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sanguk Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanguk Yun more than expected).

Fields of papers citing papers by Sanguk Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanguk Yun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sanguk Yun. The network helps show where Sanguk Yun may publish in the future.

Co-authorship network of co-authors of Sanguk Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Sanguk Yun. A scholar is included among the top collaborators of Sanguk Yun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sanguk Yun. Sanguk Yun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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